The Importance of Scientific Visualization on Novel Hardware

Technical Report · Thu Sep 01 00:00:00 EDT 2022

DOI:https://doi.org/10.2172/1885308· OSTI ID:1885308

Moreland, Kenneth ^[1]; Pugmire, Dave  ^[1]; Geveci, Berk ^[1]; Lo, Li-Ta  ^[1]; Childs, Hank ^[2]; Bolstad, Mark ^[1]; Shah, Ruchi ^[3]; Wu, Panruo ^[3]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Univ. of Oregon, Eugene, OR (United States)
3. Univ. of Houston, TX (United States)

Innovation in HPC hardware and adoption of heterogeneous systems has led to a variety of unique programming models. This has led to a challenge for scientific visualization software (and indeed all HPC software) to take full advantage of recent generations of supercomputing. Edge computing, where hardware is specialized for the needs of the particular application, exacerbates the problem. VTK-m has had many successes on this front by providing device-agnostic algorithms that compare favorably to implementations written to specific devices as shown in Table 1. However, VTK-m has focused mostly on GPU and traditional CPU multicore technology. There are numerous processor technologies, both existing and potential future, that are not being addressed by current R&D efforts.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1885308
• Report Number(s): ORNL/LTR-2022/415
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING